Biases of the wintertime Arctic Oscillation in CMIP5 models

Distinct biases are found in the pattern and teleconnections of the Arctic Oscillation (AO) in 32 climate models that participate the Coupled Model Intercomparison Project Phase 5 (CMIP5). Compared with observations, the Pacific (Atlantic) center of AO is excessively strong (weak) in most of the 32...

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Main Authors: Hainan Gong, Lin Wang, Wen Chen, Xiaolong Chen, Debashis Nath
Format: Article
Language:English
Published: IOP Publishing 2016-01-01
Series:Environmental Research Letters
Subjects:
Online Access:https://doi.org/10.1088/1748-9326/12/1/014001
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author Hainan Gong
Lin Wang
Wen Chen
Xiaolong Chen
Debashis Nath
author_facet Hainan Gong
Lin Wang
Wen Chen
Xiaolong Chen
Debashis Nath
author_sort Hainan Gong
collection DOAJ
description Distinct biases are found in the pattern and teleconnections of the Arctic Oscillation (AO) in 32 climate models that participate the Coupled Model Intercomparison Project Phase 5 (CMIP5). Compared with observations, the Pacific (Atlantic) center of AO is excessively strong (weak) in most of the 32 CMIP5 models, and the AO-related surface air temperature anomalies are generally weak over the Eurasian continent and North America. These biases are closely tied to the excessively strong linkage, which is marginal in observations, between AO and the North Pacific mode (NPM)—the leading variability of the North Pacific sea level pressure. It implies that the AO in CMIP5 models may be compounded with some regional mode over the North Pacific. Accordingly, a bias-correction method was proposed via correcting the AO index (AOI) to improve the diagnostic estimates of the AO teleconnections. The results suggest that the biases in the pattern and teleconnections of AO can be significantly reduced when the NPM variability is linearly removed from the AOI.
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spelling doaj.art-fb7b2e0744c440669b974fbc3f5b14d62023-08-09T14:18:23ZengIOP PublishingEnvironmental Research Letters1748-93262016-01-0112101400110.1088/1748-9326/12/1/014001Biases of the wintertime Arctic Oscillation in CMIP5 modelsHainan Gong0Lin Wang1Wen Chen2Xiaolong Chen3Debashis Nath4Center for Monsoon System research, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100190, People’s Republic of ChinaCenter for Monsoon System research, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100190, People’s Republic of China; The State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, People’s Republic of ChinaCenter for Monsoon System research, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100190, People’s Republic of China; The State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, People’s Republic of ChinaThe State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, People’s Republic of ChinaCenter for Monsoon System research, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100190, People’s Republic of ChinaDistinct biases are found in the pattern and teleconnections of the Arctic Oscillation (AO) in 32 climate models that participate the Coupled Model Intercomparison Project Phase 5 (CMIP5). Compared with observations, the Pacific (Atlantic) center of AO is excessively strong (weak) in most of the 32 CMIP5 models, and the AO-related surface air temperature anomalies are generally weak over the Eurasian continent and North America. These biases are closely tied to the excessively strong linkage, which is marginal in observations, between AO and the North Pacific mode (NPM)—the leading variability of the North Pacific sea level pressure. It implies that the AO in CMIP5 models may be compounded with some regional mode over the North Pacific. Accordingly, a bias-correction method was proposed via correcting the AO index (AOI) to improve the diagnostic estimates of the AO teleconnections. The results suggest that the biases in the pattern and teleconnections of AO can be significantly reduced when the NPM variability is linearly removed from the AOI.https://doi.org/10.1088/1748-9326/12/1/014001Arctic Oscillation (AO)CMIP5North PacificPacific-North America (PNA)empirical orthogonal function (EOF)
spellingShingle Hainan Gong
Lin Wang
Wen Chen
Xiaolong Chen
Debashis Nath
Biases of the wintertime Arctic Oscillation in CMIP5 models
Environmental Research Letters
Arctic Oscillation (AO)
CMIP5
North Pacific
Pacific-North America (PNA)
empirical orthogonal function (EOF)
title Biases of the wintertime Arctic Oscillation in CMIP5 models
title_full Biases of the wintertime Arctic Oscillation in CMIP5 models
title_fullStr Biases of the wintertime Arctic Oscillation in CMIP5 models
title_full_unstemmed Biases of the wintertime Arctic Oscillation in CMIP5 models
title_short Biases of the wintertime Arctic Oscillation in CMIP5 models
title_sort biases of the wintertime arctic oscillation in cmip5 models
topic Arctic Oscillation (AO)
CMIP5
North Pacific
Pacific-North America (PNA)
empirical orthogonal function (EOF)
url https://doi.org/10.1088/1748-9326/12/1/014001
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AT xiaolongchen biasesofthewintertimearcticoscillationincmip5models
AT debashisnath biasesofthewintertimearcticoscillationincmip5models